Results 61 to 70 of about 74,842 (266)

INFORMATION FLOWS IN CAUSAL NETWORKS [PDF]

open access: yesAdvances in Complex Systems, 2008
We use a notion of causal independence based on intervention, which is a fundamental concept of the theory of causal networks, to define a measure for the strength of a causal effect. We call this measure "information flow" and compare it with known information flow measures such as transfer entropy.
NIHAT AY, DANIEL POLANI
openaire   +2 more sources

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Phosphoinositides and inositol phosphates as molecular glues

open access: yesFEBS Letters, EarlyView.
Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry   +9 more
wiley   +1 more source

Identifying and Understanding Scientific Network Flows [PDF]

open access: yesEPJ Web of Conferences
The High-Energy Physics (HEP) and Worldwide LHC Computing Grid (WLCG) communities have faced significant challenges in understanding their global network flows across the world’s research and education (R&E) networks. This article describes the status of
Attebury Garhan   +11 more
doaj   +1 more source

On the Duality Between Network Flows and Network Lasso [PDF]

open access: yesIEEE Signal Processing Letters, 2020
Many applications generate data with an intrinsic network structure such as time series data, image data or social network data. The network Lasso (nLasso) has been proposed recently as a method for joint clustering and optimization of machine learning models for networked data.
openaire   +2 more sources

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Strict Vector Equilibrium Problems of Multi-Product Supply–Demand Networks with Capacity Constraints and Uncertain Demands

open access: yesAxioms
This paper considers a multi-product, multi-criteria supply–demand network equilibrium model with capacity constraints and uncertain demands. Strict network equilibrium principles are proposed both in the case of a single criterion and multi-criteria ...
Ru Li, Guolin Yu
doaj   +1 more source

A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows

open access: yesDiscrete Dynamics in Nature and Society, 2014
This paper presents a Bayesian network model for estimating origin-destination matrices. Most existing Bayesian methods adopt prior OD matrixes, which are always troublesome to be obtained.
Lin Cheng   +3 more
doaj   +1 more source

Flow Aggregation for Energy-Aware Ad-Hoc Wireless Networks Respecting QoS Provisions

open access: yesJournal of Telecommunications and Information Technology, 2020
Emerging communication technologies are now leading developers to design IT systems taking into count their energy-related considerations. Much research performed in the area of ad-hoc wireless networks tends to distribute the flows over all nodes of the
Mustapha Boukrim, Jilali Antari
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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